Efficient multi-shot epi with self-navigated segmentation

Active Publication Date: 2020-10-29
RGT UNIV OF MINNESOTA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The present invention provides a method for improving the image quality of magnetic resonance images by segmenting k-space data and estimating reference phase maps for each segment. These maps are then used to calculate phase difference values for each segment, which are applied to the k-space data to reduce phase corruptions caused by physiological changes in the subject. The result is a final image that is more accurate and reliable.

Problems solved by technology

The sensitivity of EPI to field variations reduces the effectiveness of segmented EPI acquisitions, and for either a 2D or 3D segmented EPI acquisitions, the need for correcting for physiologically induced phase variations between segments requires computational approaches and / or additional measurements, such as 2D navigators.
Such additional measurements reduce the efficiency of segmented approaches by 30-50% and are SNR dependent.

Method used

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  • Efficient multi-shot epi with self-navigated segmentation
  • Efficient multi-shot epi with self-navigated segmentation
  • Efficient multi-shot epi with self-navigated segmentation

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Embodiment Construction

[0011]Described here are systems and methods for correcting magnetic resonance imaging (“MRI”) data from corruptions due to physiological changes. Unlike motion correction techniques, the systems and methods described in the present disclosure correct the effects of physiological changes (e.g., breathing and respiration) by making the MRI data self-consistent relative to an absolute uncorrupted phase reference. This phase correction information can be extracted from the acquisition itself, thereby eliminating the need for a separate navigator scan, and establishing an accelerated acquisition. As will be described, this absolute reference can be computed in a data segmented space, and the subsequent data can be corrected relative to this absolute reference with low-resolution phases.

[0012]The systems and methods described in the present disclosure are particularly advantageous for resolving corrupted data due to the effects of breathing or other physiological changes during the appli...

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Abstract

Magnetic resonance imaging (“MRI”) data are corrected from corruptions due to physiological changes using a self-navigated phase correction technique. Unlike motion correction techniques, the effects of physiological changes (e.g., breathing and respiration) are corrected by making the MRI data self-consistent relative to an absolute uncorrupted phase reference. This phase correction information can be extracted from the acquisition itself, thereby eliminating the need for a separate navigator scan, and establishing an accelerated acquisition. This absolute reference can be computed in a data segmented space, and the subsequent data can be corrected relative to this absolute reference with low-resolution phases.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims the benefit of U.S. Provisional Patent Application Ser. No. 62 / 838,533, filed on Apr. 25, 2019, and entitled “EFFICIENT MULTI-SHOT EPI WITH SELF-NAVIGATED SEGMENTATION,” which is herein incorporated by reference in its entirety.STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH[0002]This invention was made with government support under EB025144, EB015894, NS076408, HL111410, and OD017974, awarded by National Institutes of Health. The government has certain rights in the invention.BACKGROUND[0003]The use of multi-shot encoding in MRI is used in readout-segmented EPI, phase-encoding segmented EPI, and 3D segmented EPI. The sensitivity of EPI to field variations reduces the effectiveness of segmented EPI acquisitions, and for either a 2D or 3D segmented EPI acquisitions, the need for correcting for physiologically induced phase variations between segments requires computational approaches and / or additional measurements,...

Claims

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Application Information

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IPC IPC(8): A61B5/055G01R33/46G01R33/56G01R33/561G01R33/36G01R33/48
CPCG01R33/3607G01R33/5608G01R33/4625G01R33/5618G01R33/5616A61B5/055G01R33/4826G01R33/5611G01R33/56509G01R33/56341
InventorMOELLER, STEENRAMANNA, SUDHIRAKCAKAYA, MEHMET
OwnerRGT UNIV OF MINNESOTA